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Abstract Title: Directed AI Inquiry used to sharpen and monitor student inquiry skills
Abstract Type: Contributed Poster Presentation
Abstract: An important goal of our Introductory Physics for Life Science (IPLS) course is that students develop inquiry skills into the physical mechanisms that underlie biomedical phenomena.   Self-selected student projects are a common vehicle to accomplish this.  With directed AI, students can be better guided as to what questions to ask, and their inquiry path can be monitored if they are required to submit their AI track.  This past semester, students were directed to  use AI in stages to hone their inquiry: framing the stages was key. The AI response to their initial inquiry was used to discern the direction of a more focused AI inquiry and the cycle repeated until students found original sources that had measurement data pertaining to a physical mechanism underlying their biomedical phenomenon of interest.  Every single student was expeditiously successful in doing this.  Previously, without directed-AI, weaker and less motivated students tended to struggle.
Session Time: Poster Session C
Poster Number: C-11

Author/Organizer Information

Primary Contact: Nancy Beverly
Mercy University
Dobbs Ferry, NY 10522
Phone: 9146747275